COMPUTER-BASED INTERPRETATION OF THE MARITAL SATISFACTION INVENTORY: USE IN TREATMENT PLANNING

This paper describes the computer-based interpretive system for the Marital Satisfaction Inventory (MSI) and its application in initial phases of clinical assessment and treatment planning. The automated MSI interpretive report contains sections regarding profile validity and global marital affect, spousal communication, specific areas of interaction, concerns regarding children, role orientation, and family history of distress. A case study and sample narrative demonstrate the manner in which the MSI computerized report can be incorporated into initial clinical assessment and treatment planning. Clinical findings at intake are compared with MSI profiles for this couple obtained at termination and follow-up. Both strengths and limitations of self-report measures and computer-based interpretive reports in marital therapy are considered.     

Defining and measuring patient satisfaction with medical care

This paper describes the development of Form II of the Patient Satisfaction Questionnaire (PSQ), a self-administered survey instrument designed for use in general population studies. The PSQ contains 55 Likert-type items that measure attitudes toward the more salient characteristics of doctors and medical care services (technical and interpersonal skills of providers, waiting time for appointments, office waits, emergency care, costs of care, insurance coverage, availability of hospitals, and other resources) and satisfaction with care in general. Scales are balanced to control for acquiescent response set. Scoring rules for 18 multi-item subscales and eight global scales were standardized following replication of item analyses in four field tests. Internal-consistency and test-retest estimates indicate satisfactory reliability for studies involving group comparisons. The PSQ well represents the content of characteristics of providers and services described most often in the literature and in response to open-ended questions. Empirical tests of validity have also produced generally favorable results.     

Decision Making for Risk Management: A Comparison of Graphical Methods for Presenting Quantitative Uncertainty

Previous research has shown that people err when making decisions aided by probability information. Surprisingly, there has been little exploration into the accuracy of decisions made based on many commonly used probabilistic display methods. Two experiments examined the ability of a comprehensive set of such methods to effectively communicate critical information to a decision maker and influence confidence in decision making. The second experiment investigated the performance of these methods under time pressure, a situational factor known to exacerbate judgmental errors. Ten commonly used graphical display methods were randomly assigned to participants. Across eight scenarios in which a probabilistic outcome was described, participants were asked questions regarding graph interpretation (e.g., mean) and made behavioral choices (i.e., act; do not act) based on the provided information indicated that decision‐maker accuracy differed by graphical method; error bars and boxplots led to greatest mean estimation and behavioral choice accuracy whereas complementary cumulative probability distribution functions were associated with the highest probability estimation accuracy. Under time pressure, participant performance decreased when making behavioral choices.     

THE DYNAMIC EFFECTS OF U.S. FOOD AID

Although food aid may have important medium- to long-term effects, there is a glaring absence of empirical research on food aid dynamics. This paper applies vector autoregression methods to data from 18 countries over the period 1961–95. We find evidence that food aid has a pronounced J-curve effect on recipient country per capita commercial food imports but only negligible negative effects on recipient country per capita food production. The commercial export gains are primarily enjoyed, however, by the donors' competitors, revealing heretofore unrecognized positive pecuniary trade externalities associated with foreign assistance. ( JEL F14, O13, Q17, Q18)     

Electrophysiological Signals of Familiarity and Recency in the Infant Brain

Electrophysiological work in nonhuman primates has established the existence of multiple types of signals in the temporal lobe that contribute to recognition memory, including information regarding a stimulus’s relative novelty, familiarity, and recency of occurrence. We used high‐density event‐related potentials (ERPs) to examine whether young infants represent these distinct types of information about previously experienced items. Twenty‐four different highly familiar and initially novel items were each repeated exactly once either immediately ( Experiment 1 ), or following one intervening item ( Experiment 2 ). A late slow wave (LSW) component of the ERP exhibited neural responses consistent with recency signals over right‐central leads, but only when there were no intervening stimuli between repetitions. The LSW also exhibited responses consistent with familiarity signals over anterior‐temporal leads, but only when there were intervening stimuli between repetitions. A mid‐latency negative component (i.e., the Nc) also distinguished familiar from novel items, but did not exhibit a pattern of responding consistent with familiarity signals. These findings suggest that infants encode information about a variety of objects from their natural environments into long‐term memory, and can discriminate between familiar and unfamiliar items, and between recently seen and new items, very quickly (within 1 sec). They also suggest that infants represent information about not only whether a stimulus is familiar or unfamiliar but also whether it has been seen recently.